Update utils.py

utils.py

@@ -110,19 +110,20 @@ YOUTUBE_URL_2 = "https://www.youtube.com/watch?v=hdhZwyf24mE"
 # Function to determine if the response is similar to predefined responses
 def is_response_similar(response, threshold=0.7):
     if (len(response) < 160): #nur bei sehr kurzen Antworten prüfen, ob eine Art 2ich weiß nicht dabei ist
-    # Combine the standard responses with the user's response
-    combined_responses = ANTWORT_WEISS_NICHT + [response]
-
-    # Convert text to TF-IDF feature vectors
-    vectorizer = TfidfVectorizer()
-    tfidf_matrix = vectorizer.fit_transform(combined_responses)
-
-    # Compute cosine similarity between user's response and standard responses
-    cosine_similarities = cosine_similarity(tfidf_matrix[-1], tfidf_matrix[:-1])
-
-    # Check if any of the standard responses are similar to the user's response
-    if np.max(cosine_similarities) > threshold:
-        return True
+        # Combine the standard responses with the user's response
+        combined_responses = ANTWORT_WEISS_NICHT + [response]
+    
+        # Convert text to TF-IDF feature vectors
+        vectorizer = TfidfVectorizer()
+        tfidf_matrix = vectorizer.fit_transform(combined_responses)
+    
+        # Compute cosine similarity between user's response and standard responses
+        cosine_similarities = cosine_similarity(tfidf_matrix[-1], tfidf_matrix[:-1])
+    
+        # Check if any of the standard responses are similar to the user's response
+        if np.max(cosine_similarities) > threshold:
+            return True
+        return False
     return False
 
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